Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 9
Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-4021-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4021-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 9
Data description paper
 | 
12 Sep 2024
Data description paper |  | 12 Sep 2024

A database of deep convective systems derived from the intercalibrated meteorological geostationary satellite fleet and the TOOCAN algorithm (2012–2020)

Thomas Fiolleau and Rémy Roca

Viewed

Total article views: 840 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
644 134 62 840 42 41
  • HTML: 644
  • PDF: 134
  • XML: 62
  • Total: 840
  • BibTeX: 42
  • EndNote: 41
Views and downloads (calculated since 26 Mar 2024)
Cumulative views and downloads (calculated since 26 Mar 2024)

Viewed (geographical distribution)

Total article views: 840 (including HTML, PDF, and XML) Thereof 812 with geography defined and 28 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Oct 2024
Download
Short summary
This paper presents a database of tropical deep convective systems over the 2012–2020 period, built from a cloud-tracking algorithm called TOOCAN, which has been applied to homogenized infrared observations from a fleet of geostationary satellites. This database aims to analyze the tropical deep convective systems, the evolution of their associated characteristics over their life cycle, their organization, and their importance in the hydrological and energy cycle.
Read more
Altmetrics
Final-revised paper
Preprint